System and method for analyzing sensed data in 3d space

A method for analyzing sensed data of one or more three-dimensional objects comprising:

• (a) autonomously acquiring a first data set at a first time using a plurality of sensors affixed to an autonomous robot and that each acquire the first data set from a plurality of different positions, along an inspection path traversed by the autonomous robot, relative to one or more points in physical space on the one or more three-dimensional objects, wherein the first data set is associated with a first plurality of attributes of the one or more three-dimensional objects;
• (b) autonomously collocating, by a processor, the first data set resulting in a first collocated data set, which corresponds with one or more first three-dimensional working models of the one or more three-dimensional objects, respectively;
• (c) autonomously interpreting, by a processor, the first collocated data set, by comparison to one or more pre-fabricated three-dimensional models, to determine an identity of the one or more three-dimensional objects associated with the one or more first three-dimensional working models;
• (d) autonomously acquiring a second data set at a second time using the plurality of sensors that each acquire the second data set from a plurality of different positions relative to the one or more points in physical space on the one or more three-dimensional objects, wherein the second data set is associated with a second plurality of attributes of the one or more three-dimensional objects;
• (e) autonomously collocating, by the processor, the second data set resulting in a second collocated data set, which corresponds with one or more second three-dimensional working models of the one or more three-dimensional objects;
• (f) autonomously interpreting, by the processor, the second collocated data set, by comparison to the one or more pre-fabricated three-dimensional models and/or the one or more first three-dimensional working models, to determine the identity of the one or more three-dimensional objects associated with the one or more second three-dimensional working models;
• (g) autonomously comparing, by the processor, the first collocated data set and the second collocated data set, respectively associated with a matching identity of the one or more three-dimensional objects to determine the existence of similarities and/or differences between the first collocated data set and the second collocated data set and thereby determine the existence of similarities and/or differences between the first plurality of attributes and the second plurality of attributes;
• and
• (i) optionally, repeating steps (a) through (g) for one or more iterations, wherein the second data set comprises data sets acquired last-in-time and the first data set comprises data sets acquired prior to the second data set;
• and
• wherein a user is alerted to differences in the one or more three-dimensional objects between the first time and the second time.